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Scanning Electron Microscopy

Scanning Electron Microscopy

A scanning electron microscope (SEM) is used to study the surface features of a sample by using an electron beam that scans the sample surface in a two-dimensional manner. Typically, areas between ~1 centimeter to 5 micrometers in width can be imaged. SEM can be used to image bacteria, viruses, tissues as well as larger samples like insects. Conventional SEM gives a magnification ranging from 20X to 30,000X and spatial resolution of 50 to 100 nanometers.
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Overview of Electron Microscopy

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Super-resolution Fluorescence Microscopy

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The early pioneers of microscopy opened a window into the invisible world of microorganisms. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes that leveraged nonvisible light, such as fluorescence microscopy that uses an ultraviolet light source and electron microscopy that uses short-wavelength electron beams. These advances significantly improved magnification, image resolution, and contrast. By comparison, the...

Phase Contrast and Differential Interference Contrast Microscopy

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Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

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Scanning electron microscope image enhancement using spread spectrum through dither signal imposition.

Kwang Oh Jung¹, Wonjong Joo, Dong Hwan Kim

¹Graduate School of NID Fusion Technology, Seoul National University of Science and Technology, Seoul 139-743, South Korea.

Journal of Electron Microscopy

|October 13, 2011

Summary

This summary is machine-generated.

Minimizing noise in scanning microscopes is crucial for clear nanoscale imaging. This study introduces a dither signal injection method using spread spectrum techniques to reduce scan control circuit noise and enhance image quality.

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Area of Science:

Microscopy
Image Processing
Signal Analysis

Background:

Scanning electron microscopy is vital for nanoscale measurements.
Image noise, particularly from scan control circuits, degrades image clarity and resolution.
Existing methods struggle to effectively mitigate this specific type of noise.

Purpose of the Study:

To develop and validate a novel method for reducing image noise in scanning microscopes.
To improve the quality and clarity of images obtained at the nanoscale.
To address the limitations of current noise reduction techniques in scan control circuits.

Main Methods:

Implementation of dither signal injection into the scanning signal.
Utilizing spread spectrum techniques to manage noise originating from scan control circuits.
Processing secondary electron signals through a photomultiplier tube and analog-to-digital conversion.

Main Results:

Significant reduction in noise artifacts originating from the scan control circuit.
Demonstrated improvement in image clarity and detail for nanoscale samples.
Validation of the dither signal injection method's effectiveness.

Conclusions:

Dither signal injection combined with spread spectrum methods offers an effective solution for noise reduction in scanning microscopy.
This technique enhances the reliability of nanoscale measurements by improving image quality.
The proposed method presents a practical advancement for high-resolution imaging applications.